Kudu vs RocksDB: What are the differences?
Kudu: Fast Analytics on Fast Data. A columnar storage manager developed for the Hadoop platform. A new addition to the open source Apache Hadoop ecosystem, Kudu completes Hadoop's storage layer to enable fast analytics on fast data; RocksDB: Embeddable persistent key-value store for fast storage, developed and maintained by Facebook Database Engineering Team. RocksDB is an embeddable persistent key-value store for fast storage. RocksDB can also be the foundation for a client-server database but our current focus is on embedded workloads. RocksDB builds on LevelDB to be scalable to run on servers with many CPU cores, to efficiently use fast storage, to support IO-bound, in-memory and write-once workloads, and to be flexible to allow for innovation.
Kudu belongs to "Big Data Tools" category of the tech stack, while RocksDB can be primarily classified under "Databases".
"Realtime Analytics" is the primary reason why developers consider Kudu over the competitors, whereas "Very fast" was stated as the key factor in picking RocksDB.
Kudu and RocksDB are both open source tools. RocksDB with 14.3K GitHub stars and 3.12K forks on GitHub appears to be more popular than Kudu with 789 GitHub stars and 263 GitHub forks.